Measurement and Clustering Analysis of Interprovincial Employment Quality in China

Yingxue Pan () and Xuedong Gao ()
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Yingxue Pan: University of Science and Technology Beijing
Xuedong Gao: University of Science and Technology Beijing

A chapter in LISS 2021, 2022, pp 297-310 from Springer

Abstract: Abstract Based on the panel data of 31 Chinese provinces, autonomous regions and municipalities from 2009 to 2018, an employment quality evaluation index system is constructed to measure the level of employment quality in each province from six dimensions, including employment environment, employment status, employability, labor remuneration, social security and labor relations. And the employment quality of 31 provinces is analyzed by Ward clustering method. The results show that the overall level of employment quality in China is not high and the employment quality varies greatly among provinces. Social security is the key dimension affecting the employment quality. The six categories obtained by cluster analysis have their own development advantages and disadvantages.

Keywords: The employment quality; The indicator system; Empowerment approach; Clustering analysis (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-16-8656-6_28

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DOI: 10.1007/978-981-16-8656-6_28

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